Correctness-Preserving Configuration of Business Process Models

Aalst, Wil M. P. van der; Dumas, Marlon; Gottschalk, Florian; Hofstede, Arthur H. M. ter; Rosa, Marcello La; Mendling, Jan

doi:10.1007/978-3-540-78743-3_4

Cited by 52 publications

(47 citation statements)

References 20 publications

(28 reference statements)

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“…In this work, we assume a generic process model to capture the behavioural alternatives of different variants. This is similar to the approach taken in work on the configuration of process models [22,86,87,24], while other approaches define dedicated variation elements on the process modeling language level. Such languages include Configurable EPCs [74,31], aggregated EPCs [62], and the variant rich process models [76], which pick up ideas and concepts from modeling of software product families and feature diagrams [26,94].…”

Section: Related Workmentioning

confidence: 96%

Refactoring large process model repositories

Weber

Reichert

Mendling

et al. 2011

Computers in Industry

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187

120

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With the increasing adoption of process-aware information systems, large process model repositories have emerged. Typically, the models in such repositories are re-aligned to real-world events and demands through adaptation on a day-to-day basis. This bears the risk of introducing model redundancies and of unnecessarily increasing model complexity. If no continuous investment is made in keeping process models simple, changes will become more difficult and error-prone over time. Although refactoring techniques are widely used in software engineering to address similar problems, so far, no comparable state-of-the-art has evolved in the business process management domain. Process designers either have to refactor process models by hand or are simply unable to apply respective techniques at all. This paper proposes a catalogue of process model "smells" for identifying refactoring opportunities. In addition, it introduces a set of behavior-preserving techniques for refactoring large process repositories. The proposed refactorings enable process designers to effectively deal with model complexity by making process models better understandable and easier to maintain. The refactorings have been evaluated using large process repositories from the healthcare and automotive domain. To demonstrate the feasibility of the refactoring techniques, a proof-of-concept prototype has been implemented.

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Section: Related Workmentioning

confidence: 96%

Refactoring large process model repositories

Weber

Reichert

Mendling

et al. 2011

Computers in Industry

Self Cite

187

120

View full text Add to dashboard Cite

show abstract

“…When engineering process-aware information systems (PAIS) one of the fundamental challenges is to cope with business process variability and the large number of variants that may exist for a particular process [2], [3], [4], [5]. Usually, each of these variants is valid in a particular context [6].…”

Section: Problem Statementmentioning

confidence: 99%

“…correct) execution behavior can be guaranteed for them [3], [4], [5], [8]. 1 Though there exists considerable work on how to ensure structural and behavioral soundness of single process models [9], issues related to the correct configuration of a whole process family have been neglected so far.…”

Section: Problem Statementmentioning

confidence: 99%

“…Unlike existing configuration techniques [3], Provop does not necessarily require a sound process model as starting point for variant configuration. Instead we want to provide high flexibility to users and therefore support different policies when defining the base process of a process family.…”

Section: Basic Issues and Motivationmentioning

confidence: 99%

“…As opposed to Provop, it neither is allowed to move or add model elements nor to adapt element attributes when configuring a variant. Finally, [3] shows how to configure reference process models incrementally and in a way that ensures the soundness of single process variants, both with respect to syntax and (behavioral) semantics. As opposed to Provop, this approach presumes that the original process model is sound.…”

Section: Related Workmentioning

confidence: 99%

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Guaranteeing Soundness of Configurable Process Variants in Provop

Hallerbach

Bauer

Reichert

2009

2009 IEEE Conference on Commerce and Enterprise Computing

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Usually, for a particular business process a multitude of variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the process context. While some progress has been achieved regarding the configuration of process variants, there exists only little work on how to accomplish this in a sound and efficient manner, especially when considering the large number of process variants that exist in practice as well as the many syntactical and semantical constraints they have to obey. In this paper we discuss advanced concepts for the context-and constraint-based configuration of process variants, and show how they can be utilized to ensure soundness of the configured process variants. Enhancing process-aware information systems with the capability to easily configure sound process models, belonging to the same process family and fitting to the given application context, will enable a new quality in engineering processaware information systems.

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Configuring Process Variants Through Semantic Reasoning in Systems Engineering

Detro¹,

Portela²,

Rocha³

et al. 2017

INSIGHT

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When dealing with processes, engineering systems need to be able to deal with the existence of many versions of the same process, known as variants. Each process variant aims to represent a specific business context but, due to some differences in the activities, resources, and control flow, they may differ in their logic. As result, the concept of a customizable process model has emerged. A process model can be customized by representing the process family in one single model deriving a variant through transformations in this single model. However, the process customization is not a trivial‐task. It must be ensured that the variant is correct. Besides, the resulting variant must respect all requirements related to the application context and internal and external regulations, among others. In addition, recommendations and guidance should be provided during the customization. In this context, this research aims to propose a framework for customizing variants according to the user's requirements. The customization is achieved by reasoning in an ontology based on the rules for selecting a variant, in the internal/external regulations, and on expert knowledge.

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Correctness-Preserving Configuration of Business Process Models

Cited by 52 publications

References 20 publications

Refactoring large process model repositories

Refactoring large process model repositories

Guaranteeing Soundness of Configurable Process Variants in Provop

Configuring Process Variants Through Semantic Reasoning in Systems Engineering

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